IEEE

Flexible and Parameter-Free Graph Learning for Multi-View Spectral Clustering

Abstract: With the extensive use of multi-view data in practice, multi-view spectral clustering has received a lot of attention. In this work, we focus on the following two challenges, namely, how to ...
GitHub

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

🚀 Update: If you are interested in this work, you may be interested in our latest paper and up-to-date codebase bringing together several architectures and learning paradigms for learning-driven TSP ...
IEEE

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
extra

Grid constraints costing Ireland €1.3m a day in wasted energy

An average of €1.3million worth of wind energy has been wasted every day since the start of 2025, politicians have been told. Billions of euro worth of renewable energy has been unused in recent years ...